Senior Backend Platform Engineer – Profiling Services

NVIDIA

Senior Backend Platform Engineer building scalable capabilities for profiling services at NVIDIA. Collaborating with frontend, security, and data teams to enhance performance analysis workflows.

Posted 7/29/2026full-timeSanta Clara • California, Texas • 🇺🇸 United StatesSenior💰 $140,000 - $224,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building production backend services and distributed systems, with a strong focus on data engineering, performance analysis, and collaborative workflows. Proficient in Python, SQL, and implementing resilient systems that handle concurrency and failures effectively.

Highest-signal resume keywords

Production Backend Services DevelopmentData EngineeringPython ProgrammingSQL ProficiencyAsynchronous Backend Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend ServicesDistributed SystemsData PlatformsAutomated TestingAPI EvolutionQuery ExecutionData ModelingPerformance AnalysisConcurrency HandlingFailure Recovery

Soft Skills

Sound JudgmentCollaboration

Tools & Technologies

Observability ToolsLoad Testing Tools

Industry Keywords

Data-Intensive ProductsPerformance DatasetsOperational PracticesClient-Service IntegrationAnalytical Storage

Tech Stack

Tools & technologies

Distributed SystemsPythonSQL

About the role

Key responsibilities & impact

Design and build production backend services for interactive performance analysis and collaborative workflows.
Improve the responsiveness, scalability, and efficiency of data-intensive product experiences.
Develop reliable capabilities for onboarding, validating, organizing, and serving large performance datasets.
Create durable service interfaces and data models that can evolve as product needs grow.
Engineer resilient behavior for concurrency, partial failures, retries, and recovery.
Establish effective testing, observability, and operational practices for the capabilities you own.
Partner with frontend, security, product, and source-system teams to deliver complete customer workflows.

Requirements

What you’ll need

BS or MS in Computer Science, Data Engineering, or a related field, or equivalent experience.
5+ years of experience building production backend services, distributed systems, analytical systems, or data platforms using Python or a comparable language.
Strong software engineering fundamentals, including automated tests, failure handling, production diagnostics, and compatible evolution of APIs or stored data.
For service-focused work, experience with asynchronous backends and hands-on depth in query execution or real-time stateful systems.
For data-focused work, strong SQL and experience with ingestion, schema evolution, analytical storage, or query-optimized data modeling.
Sound judgment about failure and concurrency, demonstrated through problems such as cancellation, replay, safe retries, or recovery.
Ability to measure system behavior and turn logs, metrics, traces, load tests, or data-quality signals into practical improvements.
A record of working across client, service, data, and security concerns to ship a complete production workflow.

Benefits

Comp & perks

equity
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